IK Pegasi - Revision history

en>Tom.Reding: /* Notes */Gen fixes (page/s, endash, , et al., unicodify, and/or concising wikilinks, etc.), & ref cleanup using AWB

2015-01-04T19:16:57Z

Notes: Gen fixes (page/s, endash, &nbsp, et al., unicodify, and/or concising wikilinks, etc.), & ref cleanup using AWB

en>Jni: one link

2014-02-24T16:48:57Z

one link

← Older revision		Revision as of 18:48, 24 February 2014
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	[[image:Natural-neighbors-coefficients-example.png\|300px\|thumb\|right\|Natural neighbor interpolation. The colored circles. which represent the interpolating weights, w<sub>i</sub>, are generated using the ratio of the shaded area to that ~~of the cell area of the surrounding points~~. ~~The shaded area~~ is ~~due to the insertion of the point to be interpolated into the Voronoi tessellation]]~~		I am Oscar and I totally dig that title. Puerto Rico is where he's been living for many years and he will never transfer. I am a meter reader but I strategy on altering it. To collect coins is what his family members and him appreciate.<br><br>Feel free to visit my web blog [http://www.shipzula.com/blogs/post/16377 at home std test]

	'~~''Natural neighbor interpolation''' is~~ a method of [[spatial interpolation]], developed by [[Robin Sibson]].<ref>{{cite book \|last=Sibson \|first=R. \|editor=V. Barnett \|title=Interpreting Multivariate Data \|year=1981 \|publisher=John Wiley \|location=Chichester \|pages=21–36 \|chapter=A brief description of natural neighbor interpolation (Chapter 2) }}</ref> The method is based on ~~[[Voronoi diagram\|Voronoi tessellation]] of a discrete set of spatial points. This has advantages over simpler methods of interpolation, such as [[nearest-neighbor interpolation]], in that~~ it ~~provides a more smooth approximation to the underlying "true" function~~.

	~~The basic equation in 2D is:~~
	~~:<math>G(x,y)=\sum^n_{i=1}{w_if(x_i,y_i)}</math>~~
	~~where <math>G(x,y)</math>~~ is ~~the estimate at <math>(x,y)</math>, <math>w_i</math> are the weights~~ and ~~<math>f(x_i,y_i)</math> are the known data at <math>(x_i, y_i)</math>~~. ~~The weights,~~ <~~math~~>~~w_i~~<~~/math~~>~~, are calculated by finding how much of each of the surrounding areas is "stolen" when inserting <math>(x,y)</math> into the tessellation.~~

	~~==See also==~~
	* [[Inverse distance weighting]]
	* [[Multivariate interpolation]]

	~~==References==~~
	~~{{reflist}}~~

	~~==External links==~~
	* [http://dilbert.engr.ucdavis.edu/~suku/nem/nem_intro/node3.html Natural Neighbor Interpolation]
	* [http://www.~~ems-i~~.com/~~gmshelp~~/~~Interpolation~~/~~Interpolation_Schemes/Natural_Neighbor_Interpolation.htm Introduction to natural neighbors]~~
	* [http://interpolate3d.googlecode.com/files/Report.pdf Implementation notes for natural neighbor, and comparison to other interpolation methods]
	* [http://alexbeutel.com/webgl/voronoi.html Interactive Voronoi diagram and natural neighbor interpolation visualization]

	~~[[Category:Multivariate interpolation]~~]


	~~{{Mathapplied-stub}}~~

en>Monkbot: /* References */Fix CS1 deprecated date parameter errors

2014-01-21T21:05:44Z

References: Fix CS1 deprecated date parameter errors

← Older revision		Revision as of 23:05, 21 January 2014
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	~~Emilia Shryock is my title but you can contact me anything you like~~. ~~To collect coins~~ is 1 of the ~~issues I adore most~~. ~~Hiring~~ is ~~her working day occupation now but she's always wanted her own company~~. ~~For many years he's been living~~ in ~~North Dakota~~ and ~~his family loves it~~.<br><br>~~Feel free to visit my blog~~ ... [http://~~spermdonorinfo~~.co.uk/~~groups~~/~~eliminate-a-yeast-infection-with-one-of-these-tips~~/ ~~spermdonorinfo~~.co.uk]		[[image:Natural-neighbors-coefficients-example.png\|300px\|thumb\|right\|Natural neighbor interpolation. The colored circles. which represent the interpolating weights, w<sub>i</sub>, are generated using the ratio of the shaded area to that of the cell area of the surrounding points. The shaded area is due to the insertion of the point to be interpolated into the Voronoi tessellation]]

			'''Natural neighbor interpolation''' is a method of [[spatial interpolation]], developed by [[Robin Sibson]].<ref>{{cite book \|last=Sibson \|first=R. \|editor=V. Barnett \|title=Interpreting Multivariate Data \|year=1981 \|publisher=John Wiley \|location=Chichester \|pages=21–36 \|chapter=A brief description of natural neighbor interpolation (Chapter 2) }}</ref> The method is based on [[Voronoi diagram\|Voronoi tessellation]] of a discrete set of spatial points. This has advantages over simpler methods of interpolation, such as [[nearest-neighbor interpolation]], in that it provides a more smooth approximation to the underlying "true" function.

			The basic equation in 2D is:
			:<math>G(x,y)=\sum^n_{i=1}{w_if(x_i,y_i)}</math>
			where <math>G(x,y)</math> is the estimate at <math>(x,y)</math>, <math>w_i</math> are the weights and <math>f(x_i,y_i)</math> are the known data at <math>(x_i, y_i)</math>. The weights, <math>w_i</math>, are calculated by finding how much of each of the surrounding areas is "stolen" when inserting <math>(x,y)</math> into the tessellation.

			==See also==
			* [[Inverse distance weighting]]
			* [[Multivariate interpolation]]

			==References==
			{{reflist}}

			==External links==
			* [http://dilbert.engr.ucdavis.edu/~suku/nem/nem_intro/node3.html Natural Neighbor Interpolation]
			* [http://www.ems-i.com/gmshelp/Interpolation/Interpolation_Schemes/Natural_Neighbor_Interpolation.htm Introduction to natural neighbors]
			* [http://interpolate3d.googlecode.com/files/Report.pdf Implementation notes for natural neighbor, and comparison to other interpolation methods]
			* [http://alexbeutel.com/webgl/voronoi.html Interactive Voronoi diagram and natural neighbor interpolation visualization]

			[[Category:Multivariate interpolation]]


			{{Mathapplied-stub}}

en>RJHall: /* Future evolution */ Link to high-velocity star

2012-05-18T22:45:35Z

Future evolution: Link to high-velocity star

New page

Emilia Shryock is my title but you can contact me anything you like. To collect coins is 1 of the issues I adore most. Hiring is her working day occupation now but she's always wanted her own company. For many years he's been living in North Dakota and his family loves it.<br><br>Feel free to visit my blog ... [http://spermdonorinfo.co.uk/groups/eliminate-a-yeast-infection-with-one-of-these-tips/ spermdonorinfo.co.uk]